How China Achieves the Delicate Balance in Ecological Poverty Alleviation: A Systems Thinking Perspective
Abstract
:1. Introduction
- How does EPA achieve the win-win outcome of ecological protection and poverty alleviation?
- Which key feedback loops influence the outcomes of EPA?
- How do the key feedback loops influence the outcomes of EPA?
2. Methods
3. The Case of Lanping County
3.1. Study Area
3.2. Main Measures of EPA in Lanping County
3.2.1. Ecological Poverty Alleviation through Ecological Restoration Projects and Ecological Compensation
3.2.2. Poverty Alleviation through Ecological Industries
3.2.3. Poverty Alleviation through Ecological Resettlement
3.2.4. Poverty Alleviation through Clean Energy Projects
4. Application of Systems Thinking to EPA in Lanping County
4.1. Problem Definition and Data Collection
4.2. Variable Selection and Confirmation of the Characteristics of the Relationship between Variables
4.3. Building and Analyzing Causal Loop Diagrams of EPA in Lanping County
4.3.1. Causal Loop Diagram of Ecological Restoration and Resettlement Projects and Ecological Compensation
4.3.2. Causal Loop Diagram of Ecological Industries
4.3.3. Causal Loop Diagram of Clean Energy Projects
4.3.4. Merged Causal Loop Diagram of EPA in Lanping
5. Discussion
5.1. Analysis of the Mechanism of EPA
5.2. Implications
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Liu, Y.; Liu, J.; Zhou, Y. Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies. J. Rural. Stud. 2017, 52, 66–75. [Google Scholar] [CrossRef]
- Wang, Y.; Qu, L.; Wang, J.; Liu, Q.; Chen, Z. Sustainable Revitalization and Green Development Practices in China’s Northwest Arid Areas: A Case Study of Yanchi County, Ningxia. Land 2022, 11, 1902. [Google Scholar] [CrossRef]
- Chen, Q.; Lu, S.; Xiong, K.; Zhao, R. Coupling analysis on ecological environment fragility and poverty in South China Karst. Environ. Res. 2021, 201, 111650. [Google Scholar] [PubMed]
- Ministry of Ecology and Environment. Outline of the National Ecological Fragile Area Protection Plan. 2008. Available online: https://www.mee.gov.cn/gkml/hbb/bwj/200910/t20091022_174613.htm (accessed on 29 July 2022). (In Chinese)
- Liu, Y.; Li, Y. Revitalize the world’s countryside. Nature 2017, 548, 275–277. [Google Scholar] [CrossRef] [Green Version]
- Zhou, Y.; Li, Y.; Liu, Y. The nexus between regional eco-environmental degradation and rural impoverishment in China. Habitat Int. 2020, 96, 102086. [Google Scholar] [CrossRef]
- Ravallion, M.; Wodon, Q. Poor areas, or only poor people? J. Reg. Sci. 1999, 39, 689–711. [Google Scholar] [CrossRef] [Green Version]
- Lei, M.; Yuan, X.; Yao, X. Synthesize dual goals: A study on China’s ecological poverty alleviation system. J. Integr. Agric. 2021, 20, 1042–1059. [Google Scholar] [CrossRef]
- National Development and Reform Commission. Circular on Issuing “The Work Plan for Ecological Poverty Alleviation”. 2018. Available online: http://zfxxgk.ndrc.gov.cn/web/iteminfo.jsp?id=14198 (accessed on 29 August 2022). (In Chinese)
- Liu, W.; Xu, J.; Li, J.; Li, S. Rural households’ poverty and relocation and settlement: Evidence from Western China. Int. J. Environ. Res. Public Health 2019, 16, 2609. [Google Scholar] [CrossRef] [Green Version]
- Ma, B.; Cai, Z.; Zheng, J.; Wen, Y. Conservation, ecotourism, poverty, and income inequality—A case study of nature reserves in Qinling, China. World Dev. 2019, 115, 236–244. [Google Scholar] [CrossRef]
- Gu, Z.; Yu, J. Ecological Poverty-Relief Programs in China Help Increase Income for Rural Residents. People’s Daily, 2021. Available online: http://en.people.cn/n3/2021/0225/c90000-9821924.html(accessed on 29 August 2022).
- Liu, H.; Yeerken, W.; Stein, H. Study of poverty alleviation strategy based on labor force quality improvement and ecological protection in Western China. Chin. J. Popul. Resour. Environ. 2013, 11, 218–226. [Google Scholar] [CrossRef]
- Meng, R.; Zhang, L.; Zang, H.; Jin, S. Evaluation of Environmental and Economic Integrated Benefits of Photovoltaic Poverty Alleviation Technology in the Sanjiangyuan Region of Qinghai Province. Sustainability 2021, 13, 13236. [Google Scholar] [CrossRef]
- Cheng, X.; Shuai, C.; Liu, J.; Wang, J.; Liu, Y.; Li, W.; Shuai, J. Topic modeling of ecology, environment and poverty nexus: An integrated framework. Agric. Ecosyst. Environ. 2018, 267, 1–14. [Google Scholar] [CrossRef]
- Qin, D.; Xu, H.; Chung, Y. Perceived impacts of the poverty alleviation tourism policy on the poor in China. J. Hosp. Tour. Manag. 2019, 41, 41–50. [Google Scholar]
- Zhao, W.; Ritchie, J.B. Tourism and poverty alleviation: An integrative research framework. Curr. Issues Tour. 2007, 10, 119–143. [Google Scholar] [CrossRef]
- Lo, K.; Wang, M. How voluntary is poverty alleviation resettlement in China? Habitat Int. 2018, 73, 34–42. [Google Scholar] [CrossRef]
- Fan, M.; Li, Y.; Li, W. Solving one problem by creating a bigger one: The consequences of ecological resettlement for grassland restoration and poverty alleviation in Northwestern China. Land Use Policy 2015, 42, 124–130. [Google Scholar]
- Geall, S.; Shen, W. Solar energy for poverty alleviation in China: State ambitions, bureaucratic interests, and local realities. Energy Res. Soc. Sci. 2018, 41, 238–248. [Google Scholar] [CrossRef]
- Li, Y.; Zhang, Q.; Wang, G.; McLellan, B.; Liu, X.F.; Wang, L. A review of photovoltaic poverty alleviation projects in China: Current status, challenge and policy recommendations. Renew. Sustain. Energy Rev. 2018, 94, 214–223. [Google Scholar] [CrossRef]
- Zhang, G.; Zhang, N. The effect of China’s pilot carbon emissions trading schemes on poverty alleviation: A quasi-natural experiment approach. J. Environ. Manag. 2020, 271, 110973. [Google Scholar] [CrossRef] [PubMed]
- Hou, L.; Xia, F.; Chen, Q.; Huang, J.; He, Y.; Rose, N.; Rozelle, S. Grassland ecological compensation policy in China improves grassland quality and increases herders’ income. Nat. Commun. 2021, 12, 1–12. [Google Scholar] [CrossRef]
- Huan, Q.; Chen, Y.; Huan, X. A Frugal Eco-Innovation Policy? Ecological Poverty Alleviation in Contemporary China from a Perspective of Eco-Civilization Progress. Sustainability 2022, 14, 4570. [Google Scholar] [CrossRef]
- Ratter, B.M. Complexity and emergence: Key concepts in non-linear dynamic systems. In Human-Nature Interactions in the Anthropocene; Routledge: Abingdon, UK, 2012; pp. 108–122. [Google Scholar]
- Senge, P.M.; Sterman, J.D. Systems thinking and organizational learning: Acting locally and thinking globally in the organization of the future. Eur. J. Oper. Res. 1992, 59, 137–150. [Google Scholar] [CrossRef]
- Hossain, N.U.I.; Jaradat, R.M.; Hamilton, M.A.; Keating, C.B.; Goerger, S.R. A historical perspective on development of systems engineering discipline: A review and analysis. J. Syst. Sci. Syst. Eng. 2020, 29, 1–35. [Google Scholar] [CrossRef]
- Cavana, R.Y.; Mares, E.D. Integrating critical thinking and systems thinking: From premises to causal loops. Syst. Dyn. Rev. J. Syst. Dyn. Soc. 2004, 20, 223–235. [Google Scholar] [CrossRef]
- Lane, D.C. The emergence and use of diagramming in system dynamics: A critical account. Syst. Res. Behav. Sci. Off. J. Int. Fed. Syst. Res. 2008, 25, 3–23. [Google Scholar] [CrossRef]
- Hjorth, P. Knowledge development and management for urban poverty alleviation. Habitat Int. 2003, 27, 381–392. [Google Scholar] [CrossRef]
- Schaffernicht, M. Causal loop diagrams between structure and behaviour: A critical analysis of the relationship between polarity, behaviour and events. Syst. Res. Behav. Sci. 2010, 27, 653–666. [Google Scholar] [CrossRef]
- Coyle, G. Qualitative and quantitative modeling in system dynamics: Some research questions. Syst. Dyn. Rev. J. Syst. Dyn. Soc. 2000, 16, 225–244. [Google Scholar] [CrossRef]
- Mai, T.; Smith, C. Addressing the threats to tourism sustainability using systems thinking: A case study of Cat Ba Island, Vietnam. J. Sustain. Tour. 2015, 23, 1504–1528. [Google Scholar] [CrossRef]
- Eker, S.; Zimmermann, N. Using textual data in system dynamics model conceptualization. Systems 2016, 4, 28. [Google Scholar] [CrossRef] [Green Version]
- Tegegne, W.A.; Moyle, B.D.; Becken, S. A qualitative system dynamics approach to understanding destination image. J. Destin. Mark. Manag. 2018, 8, 14–22. [Google Scholar] [CrossRef]
- Forrester, J.W. Industrial Dynamics; MIT Press: Cambridge, MA, USA; Pegasus Communications: Waltham, MA, USA, 1961. [Google Scholar]
- Burchill, G.; Kim, D.H. Inductive System Diagrams: An Empirically Based Theory Generation Technique; Sloan, A.P., Ed.; Working paper; School of Management: Cambridge, MA, USA, 1993. [Google Scholar]
- Tomoaia-Cotisel, A.; Allen, S.D.; Kim, H.; Andersen, D.; Chalabi, Z. Rigorously interpreted quotation analysis for evaluating causal loop diagrams in late-stage conceptualization. Syst. Dyn. Rev. 2022, 38, 41–80. [Google Scholar] [CrossRef]
- Xiao, W.; Qu, L.; Li, K.; Guo, C.; Li, J. An Assessment of the Rational Range of Eco-Compensation Standards: A Case Study in the Nujiang Prefecture, Southwestern China. Land 2022, 11, 1417. [Google Scholar] [CrossRef]
- Lanping County Forestry Bureau Made the Final Accounts Public in 2017. Lanping County Finance Bureau, 6 September 2021. Available online: https://www.lanping.gov.cn/xxgk/015280463/info/2019-125330.html (accessed on 16 September 2022). (In Chinese)
- Cheng, Y.; Cheng, J. Lanping County Strives to Transform Lucid Water and Lush Mountains into Invaluable Assets—Painting the Ecological Background of High-Quality Development. Nujiang Daily, 12 August 2021. Available online: https://zwb.nujiang.cn/Html/2021-08-12/28583.html (accessed on 16 September 2022). (In Chinese)
- Lanping County’s Characteristic Industry Becomes a Pillar Industry for Increasing People’s Income. The People’s Governement of Lanping County, 20 August 2021. Available online: https://www.lanping.gov.cn/2020/0819/510.html (accessed on 17 September 2022). (In Chinese)
- Lanping: Photovoltaic Poverty Alleviation Industry Illuminates the Road to a Well-Off Life. The People’s Governement of Lanping County, 14 January 2021. Available online: https://www.lanping.gov.cn/2021/0114/580.html (accessed on 17 September 2022). (In Chinese)
- Saeed, K. Defining a Problem or Constructing a Reference Mode. In Proceedings of the 16th International Conference of the System Dynamics Society, Québec City, QC, Canada, 20–23 July 1998; Available online: https://proceedings.systemdynamics.org/1998/PROCEED/00016.PDF (accessed on 29 September 2022).
- Warr, P.G. Poverty incidence and economic growth in Southeast Asia. J. Asian Econ. 2000, 11, 431–441. [Google Scholar] [CrossRef]
- Xu, J.; Yin, R.; Li, Z.; Liu, C. China’s ecological rehabilitation: Unprecedented efforts, dramatic impacts, and requisite policies. Ecol. Econ. 2006, 57, 595–607. [Google Scholar] [CrossRef]
- World Bank. Cooperatives Sow Opportunity for Poor Farmers in China’s Guizhou Province. 2019. Available online: https://www.worldbank.org/en/news/feature/2019/10/11/cooperatives-sow-opportunity-for-poor-farmers-in-chinas-guizhou-province (accessed on 29 September 2022).
- Wang, G.; Shi, R.; Mi, L.; Hu, J. Agricultural Eco-Efficiency: Challenges and Progress. Sustainability 2022, 14, 1051. [Google Scholar] [CrossRef]
- Croes, R.; Vanegas Sr, M. Cointegration and causality between tourism and poverty reduction. J. Travel Res. 2008, 47, 94–103. [Google Scholar] [CrossRef] [Green Version]
- Dada, Z.A.; Najar, A.H.; Gupta, S.K. Pro-Poor Tourism as an Antecedent of Poverty Alleviation: An Assessment of the Local Community Perception. Int. J. Hosp. Tour. Syst. 2022, 15, 37–46. [Google Scholar]
- Dias, Á.; González-Rodríguez, M.R.; Patuleia, M. Developing poor communities through creative tourism. J. Tour. Cult. Chang. 2021, 19, 509–529. [Google Scholar] [CrossRef]
- Upadhaya, S.; Tiwari, S.; Poudyal, B.; Godar Chhetri, S.; Dhungana, N. Local people’s perception of the impacts and importance of ecotourism in Central Nepal. PLoS ONE 2022, 17, e0268637. [Google Scholar] [CrossRef]
- Han, M.; Xiong, J.; Wang, S.; Yang, Y. Chinese photovoltaic poverty alleviation: Geographic distribution, economic benefits and emission mitigation. Energy Policy 2020, 144, 111685. [Google Scholar] [CrossRef]
- Lee, A.S.; Baskerville, R.L. Generalizing generalizability in information systems research. Inf. Syst. Res. 2003, 14, 221–243. [Google Scholar] [CrossRef] [Green Version]
- Adato, M.; Carter, M.R.; May, J. Exploring poverty traps and social exclusion in South Africa using qualitative and quantitative data. J. Dev. Stud. 2006, 42, 226–247. [Google Scholar] [CrossRef]
- de Janvry, A.; Sadoulet, E. Using agriculture for development: Supply-and demand-side approaches. World Dev. 2020, 133, 105003. [Google Scholar] [CrossRef]
- Meadows, D.H.; Meadows, D. The history and conclusions of The Limits to Growth. Syst. Dyn. Rev. J. Syst. Dyn. Soc. 2007, 23, 191–197. [Google Scholar] [CrossRef]
- Bishop, L. A reflexive account of reusing qualitative data: Beyond primary/secondary dualism. Sociol. Res. Online 2007, 12, 43–56. [Google Scholar] [CrossRef]
- Johnston, M.P. Secondary data analysis: A method of which the time has come. Qual. Quant. Methods Libr. 2017, 3, 619–626. [Google Scholar]
EPA Measures | Variables |
---|---|
Ecological restoration projects and ecological compensation | Afforestation; Deforestation; Forest cover rate; Environmental vulnerability; Disaster incident; Disaster economic losses; Income per capita; Poverty level; External support; Ecological Public welfare jobs; Employment rate; Ecological restoration projects; Ecological compensation investment |
Ecological industry | Poverty level; External support; Ecological forestry; Ecological agriculture; Ecotourism; Tourism infrastructure; Tourist site attractiveness; Environmental quality; Environmental protection efforts; Afforestation; Deforestation; Tourists; Tourism revenue; Economic development; Demand of service; Large-scale production; Output value of forestry; Output value of agriculture; Employment rate; Public participation; Environmental awareness |
Ecological resettlement | Afforestation; Deforestation; Forest cover rate; Environmental vulnerability; Disaster incident; Disaster economic losses; Income per capita; Poverty level; External support |
Clean energy projects | Poverty level; External support; Ecological infrastructure; Clean energy development; Deforestation; Forest cover rate; Environmental vulnerability; Disaster incident; Disaster economic losses; Income per capita; Poverty level; External support; Economic development; Tourism revenue; Employment rate; Energy subsidy; Clean energy source; Forest consumption |
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Wang, L.; Wu, M.; Goh, J.; Richardson, J.; Yan, H. How China Achieves the Delicate Balance in Ecological Poverty Alleviation: A Systems Thinking Perspective. Systems 2022, 10, 240. https://doi.org/10.3390/systems10060240
Wang L, Wu M, Goh J, Richardson J, Yan H. How China Achieves the Delicate Balance in Ecological Poverty Alleviation: A Systems Thinking Perspective. Systems. 2022; 10(6):240. https://doi.org/10.3390/systems10060240
Chicago/Turabian StyleWang, Linlin, Meng Wu, Jenson Goh, John Richardson, and Haiyan Yan. 2022. "How China Achieves the Delicate Balance in Ecological Poverty Alleviation: A Systems Thinking Perspective" Systems 10, no. 6: 240. https://doi.org/10.3390/systems10060240